base on Command line csv viewer # csvlens `csvlens` is a command line CSV file viewer. It is like `less` but made for CSV.  ## Usage Run `csvlens` by providing the CSV filename: ``` csvlens <filename> ``` Pipe CSV data directly to `csvlens`: ``` <your commands producing some csv data> | csvlens ``` ### Key bindings Key | Action --- | --- `hjkl` (or `← ↓ ↑→ `) | Scroll one row or column in the given direction `Ctrl + f` (or `Page Down`) | Scroll one window down `Ctrl + b` (or `Page Up`) | Scroll one window up `Ctrl + d` (or `d`) | Scroll half a window down `Ctrl + u` (or `u`) | Scroll half a window up `Ctrl + h` | Scroll one window left `Ctrl + l` | Scroll one window right `Ctrl + ←` | Scroll left to first column `Ctrl + →` | Scroll right to last column `G` (or `End`) | Go to bottom `g` (or `Home`) | Go to top `<n>G` | Go to line `n` `/<regex>` | Find content matching regex and highlight matches `n` (in Find mode) | Jump to next result `N` (in Find mode) | Jump to previous result `&<regex>` | Filter rows using regex (show only matches) `*<regex>` | Filter columns using regex (show only matches) `TAB` | Toggle between row, column or cell selection modes `>` | Increase selected column's width `<` | Decrease selected column's width `Shift + ↓` (or `J`) | Sort rows or toggle sort direction by the selected column `Ctrl + j` | Same as above, but sort by natural ordering (e.g. "file2" < "file10") `#` (in Cell mode) | Find and highlight rows like the selected cell `@` (in Cell mode) | Filter rows like the selected cell `y` | Copy the selected row or cell to clipboard `Enter` (in Cell mode) | Print the selected cell to stdout and exit `-S` | Toggle line wrapping `-W` | Toggle line wrapping by words `f<n>` | Freeze this number of columns from the left `m` | Mark / unmark the selected row visually `M` | Clear all row marks `r` | Reset to default view (clear all filters and custom column widths) `H` (or `?`) | Display help `q` | Exit ### Optional parameters * `-d <char>`: Use this delimiter when parsing the CSV (e.g. `csvlens file.csv -d '\t'`). Specify `-d auto` to auto-detect the delimiter. * `-t`, `--tab-separated`: Use tab as the delimiter (when specified, `-d` is ignored). * `-i`, `--ignore-case`: Ignore case when searching. This flag is ignored if any uppercase letters are present in the search string. * `--no-headers`: Do not interpret the first row as headers. * `--columns <regex>`: Use this regex to select columns to display by default. Example: `"column1|column2"` matches `"column1"`, `"column2"`, and also column names like `"column11"`, `"column22"`. * `--filter <regex>`: Use this regex to filter rows to display by default. The regex is matched against each cell in every column. Example: `"value1|value2"` filters rows with any cells containing `"value1"`, `"value2"`, or text like `"my_value1"` or `"value234"`. * `--find <regex>`: Use this regex to find and highlight matches by default. The regex is matched against each cell in every column. Example: `"value1|value2"` highlights text in any cells containing `"value1"`, `"value2"`, or longer text like `"value1_ok"`. * `--echo-column <column_name>`: Print the value of this column at the selected row to stdout on `Enter` key and then exit. * `--prompt <prompt>`: Show a custom prompt message in the status bar. Supports ANSI escape codes for colored or styled text. Example: ```bash csvlens Pokemon.csv --prompt $'\e[1m\e[32mSelect a Pokémon!\e[0m' ``` * `--color-columns` (or `--colorful`): Display each column in a different color. ## Installation ### Direct download You can download the `tar.xz` or `zip` file matching your operating system from the [releases page](https://github.com/YS-L/csvlens/releases), extract it and execute the `csvlens` binary. ### Homebrew For macOS, `csvlens` is available on [Homebrew](https://formulae.brew.sh/formula/csvlens). You can install it using: ``` brew install csvlens ``` ### Arch Linux `csvlens` is available in the [official repositories](https://archlinux.org/packages/extra/x86_64/csvlens). You can install it using: ``` pacman -S csvlens ``` ### Windows For Windows, `csvlens` is available on [winget](https://learn.microsoft.com/en-gb/windows/package-manager/). You can install it using: ```powershell winget install --id YS-L.csvlens ``` ### FreeBSD `csvlens` is available as a [FreeBSD pkg](https://www.freshports.org/textproc/csvlens/). You can install it using: ``` pkg install csvlens ``` ### NetBSD `csvlens` is available on [pkgsrc](https://ftp.netbsd.org/pub/pkgsrc/current/pkgsrc/textproc/csvlens/index.html). If you're using NetBSD you can install it using: ``` pkgin install csvlens ``` ### OpenBSD `csvlens` is available as an [OpenBSD port](https://cvsweb.openbsd.org/ports/textproc/csvlens/). If you're using OpenBSD 7.6-current or later, you can install it using: ``` doas pkg_add csvlens ``` ### Cargo If you have [Rust](https://www.rust-lang.org/tools/install) installed, `csvlens` is available on [crates.io](https://crates.io/crates/csvlens) and you can install it using: ``` cargo install csvlens ``` Or, build and install from source after cloning this repo: ``` cargo install --path $(pwd) ``` Requires Rust 1.88.0 or newer. ## Library Usage This crate allows you to use csvlens as a library. In your `Cargo.toml`, add the following: ```toml [dependencies] csvlens = { version = "0.12.0", default-features = false, features = ["clipboard"] } ``` ### Example Here's a simple example of how to use `csvlens` as a library ([Documentation](https://docs.rs/csvlens/0.12.0/csvlens/index.html)): ```rust use csvlens::run_csvlens; let out = run_csvlens(&["/path/to/your.csv"]).unwrap(); if let Some(selected_cell) = out { println!("Selected: {}", selected_cell); } ``` For more advanced usage, you can use `CsvlensOptions` to customize the behavior: ```rust use csvlens::{run_csvlens_with_options, CsvlensOptions}; let options = CsvlensOptions { filename: "/path/to/your.csv".to_string(), delimiter: Some("|".to_string()), ignore_case: true, debug: true, ..Default::default() }; let out = run_csvlens_with_options(options).unwrap(); if let Some(selected_cell) = out { println!("Selected: {}", selected_cell); } ``` See how [qsv](https://github.com/dathere/qsv/tree/master?tab=readme-ov-file#qsv-blazing-fast-data-wrangling-toolkit) uses `csvlens` as a library [here](https://github.com/dathere/qsv/blob/master/src/cmd/lens.rs#L2). ", Assign "at most 3 tags" to the expected json: {"id":"6764","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"